Automatic Speech Recognition
MLX
ONNX
GGUF
Rust
English
Chinese
audio8
streaming-asr
quantized
experimental
Instructions to use Reza2kn/Audio8-ASR-Infinite-Compressed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Reza2kn/Audio8-ASR-Infinite-Compressed with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Reza2kn/Audio8-ASR-Infinite-Compressed --local-dir Audio8-ASR-Infinite-Compressed
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download evaluation/reserved-11/verification.json from Reza2kn/Audio8-ASR-Infinite-Compressed: direct link, hf CLI and curl.
- Browser
- Download file 67.6 kB
-
https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/evaluation/reserved-11/verification.json
- Command line
-
hf download hf://Reza2kn/Audio8-ASR-Infinite-Compressed/evaluation/reserved-11/verification.json
-
curl -L -o verification.json https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/evaluation/reserved-11/verification.json
67.6 kB
| { | |
| "status": "complete_verified_paired_evaluation", | |
| "qualification_sha256": "0c96a730cf50cce413033ff196959264134c63469d95fd1d81c137f66d3a8897", | |
| "production_ready": false, | |
| "totals": { | |
| "native": { | |
| "en": { | |
| "errors": 197, | |
| "reference_units": 947, | |
| "substitutions": 93, | |
| "deletions": 67, | |
| "insertions": 37, | |
| "hits": 787, | |
| "error_rate": 0.20802534318901794 | |
| }, | |
| "zh": { | |
| "errors": 0, | |
| "reference_units": 118, | |
| "substitutions": 0, | |
| "deletions": 0, | |
| "insertions": 0, | |
| "hits": 118, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "mlx": { | |
| "en": { | |
| "errors": 198, | |
| "reference_units": 947, | |
| "substitutions": 93, | |
| "deletions": 68, | |
| "insertions": 37, | |
| "hits": 786, | |
| "error_rate": 0.20908130939809927 | |
| }, | |
| "zh": { | |
| "errors": 0, | |
| "reference_units": 118, | |
| "substitutions": 0, | |
| "deletions": 0, | |
| "insertions": 0, | |
| "hits": 118, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "original": { | |
| "en": { | |
| "errors": 183, | |
| "reference_units": 947, | |
| "substitutions": 78, | |
| "deletions": 67, | |
| "insertions": 38, | |
| "hits": 802, | |
| "error_rate": 0.1932418162618796 | |
| }, | |
| "zh": { | |
| "errors": 1, | |
| "reference_units": 118, | |
| "substitutions": 1, | |
| "deletions": 0, | |
| "insertions": 0, | |
| "hits": 117, | |
| "error_rate": 0.00847457627118644 | |
| } | |
| } | |
| }, | |
| "aligned_word_timing": { | |
| "native": { | |
| "matched_units": 423, | |
| "ambiguous_matched_units": 13, | |
| "p50_seconds": 0.49053101805970045, | |
| "p95_seconds": 0.6410016568843275, | |
| "maximum_seconds": 1.2352298538573088, | |
| "matched_units_above_one_second": 1, | |
| "unambiguous_units_above_one_second": 0, | |
| "all_reference_units_within_one_second_proven": false | |
| }, | |
| "mlx": { | |
| "matched_units": 422, | |
| "ambiguous_matched_units": 13, | |
| "p50_seconds": 0.7124577500228781, | |
| "p95_seconds": 0.9029277089913421, | |
| "maximum_seconds": 1.473215250032954, | |
| "matched_units_above_one_second": 3, | |
| "unambiguous_units_above_one_second": 2, | |
| "all_reference_units_within_one_second_proven": false | |
| } | |
| }, | |
| "cases": [ | |
| { | |
| "id": "ami-ES2003a", | |
| "language": "en", | |
| "arms": { | |
| "native": { | |
| "text": "Okay, well, I think we're ready to begin. Right. My name's Adam Duguid. We're here because of real reaction. We have. In the group, oh, Ebenezer. I demonstrate. You like me to suppose it? Yeah, go for it, mate. Any Z. Any Z. Any Z. Ebenezer and you're rolled his. I am the marketing expert. You're a marketing expert. Okay.\nNext, we have taric grammar, t-a-r-r-r-m-m, and your role in this is. Industrial designer, industrial designer.\nAnd lastly, we have. Dave Carhart.\nAnd you're going to be the user interface.\nRight. This is the agenda for today's meeting, as you can see. The opening acquaintance, tool training, project plan, discussion, and closing. We already got through opening, and the partially through acquaintance. So, the reason we're here, we're going to design a new remote control, as you probably all know. The very broad overview is original, trendy, and user friendly. Of course, we'll have to go into a bit more. Detail of that. But. Personally, I think that the original is going to be a very key aspect of his design. There's a lot of remote controls out there, anyway. So, we're going to need something that's really going to set it apart.\nThis is how to do. It seems to be he is going to work. We have the three k faces, as you've probably already been told, the functional architectural and the detailed design.\nFirst one is going to be covering the user requirement spec, technical functions, working design. Second seems to be conceptual components, properties, materials, and the last one is a detailed analysis of our design so far. Of course, you've all got the similar emails, I believe.\nWhat can I say? Every user. Do you want to have a? Do you want to draw your favorite? I don't know. Sure.\nOkay. I'm gonna make this quick, since we don't have much time.\nOkay, so it's not the best picture in the world. Here we have a elephant. First point, the game with an E. Same like a Benizza. Also, elephants have a very good memory, much like myself. And I can't remember back when I used to live in Nigeria, but I think I used to have a pet elephant. So elephants are big, strong, and gentle, and they have great memories. And it began. Let it eat, just like Benizza. Brilliantly done. Thank you.\nDo you like that for a shot at? Bit of artistry. It's what's come all the way, eh? Oh, um, you can clip them to your belt. Oh, I think you. Oh, you should also. Have your. The lapel mic icon as well. Does it? Or that's good. We can clip them on. Okay. Yeah, there's this microphone as well with it. You.\nJust somewhere.\nThe other, it's just a cross here. That's it.\nThis is what's we clipped as well. Think so? Yeah, it'll follow you if you.", | |
| "errors": 158, | |
| "reference_units": 551, | |
| "error_rate": 0.2867513611615245, | |
| "memory": { | |
| "os_peak_process_rss_bytes": 2126221312, | |
| "os_peak_memory_footprint_bytes": null, | |
| "footprint_available": false, | |
| "rss_source_unit": "KiB (1024 bytes)", | |
| "elapsed_seconds": 306.09, | |
| "user_seconds": 899.03, | |
| "system_seconds": 76.16, | |
| "scope": "Fresh native child process including loading and inference; excludes Python harness. RSS and footprint are separate measurements and must not be summed." | |
| }, | |
| "word_timing": { | |
| "measured": true, | |
| "actual_arrival_paced": true, | |
| "timing_basis": "Independent host receipt of flushed JSONL since paced20ms producer start; all source words retained", | |
| "correctly_matched_units": 423, | |
| "ambiguous_matched_units": 13, | |
| "ambiguity_method": "all minimum unit-cost Levenshtein paths, without timing-based selection", | |
| "unambiguous_matched_units": 410, | |
| "unambiguous_maximum_seconds": 0.7696177648753064, | |
| "unmatched_reference_units": 128, | |
| "matched_reference_fraction": 0.7676950998185118, | |
| "min_seconds": -2.2444106019567727, | |
| "p50_seconds": 0.49053101805970045, | |
| "p95_seconds": 0.6410016568843275, | |
| "maximum_seconds": 1.2352298538573088, | |
| "matched_units_above_one_second": 1, | |
| "all_matched_units_within_one_second": null, | |
| "whole_release_pass": false, | |
| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
| "longest_deleted_reference_run": 9, | |
| "max_queue_seconds": 0.6846245989999602, | |
| "mature_windows": 199, | |
| "mature_work_rtf": 0.9245470426507537 | |
| }, | |
| "mlx": { | |
| "text": "Okay, well, I think we're ready to begin. Right. My name's Adam Duguid. We're here because of real reaction. We have. In the group, oh, Ebenezer. I demonstrate. You like me to suppose it? Yeah, go for it, mate. Any Z. Any Z. Any Z. Ebenezer and you're rolled his. I am the marketing expert. You're a marketing expert. Okay.\nNext, we have taric grammar, t-a-r-r-r-m-m, and your role in this is. Industrial designer, industrial designer.\nAnd lastly, we have. Dave Carhart.\nAnd you're going to be the user interface.\nRight. This is the agenda for today's meeting, as you can see. The opening acquaintance, tool training, project plan, discussion, and closing. We already got through opening, and the partially through acquaintance. So, the reason we're here, we're going to design a new remote control, as you probably all know. The very broad overview is original, trendy, and user friendly. Of course, we'll have to go into a bit more. Detail of that. But. Personally, I think that the original is going to be a very key aspect of his design. There's a lot of remote controls out there, anyway. So, we're going to need something that's really going to set it apart.\nThis is how to do. It seems to be he is going to work. We have the three k faces, as you've probably already been told, the functional architectural and the detailed design.\nFirst one is going to be covering the user requirement spec, technical functions, working design. Second seems to be conceptual components, properties, materials, and the last one is a detailed analysis of our design so far. Of course, you've all got the similar emails, I believe.\nWhat can I say? Every user. Do you want to have a? Do you want to draw your favorite? I don't know. Sure.\nOkay. I'm gonna make this quick, since we don't have much time.\nOkay, so it's not the best picture in the world. Here we have a elephant. First point, the game with an E. Same like a Benizza. Also, elephants have a very good memory, much like myself. And I can't remember back when I used to live in Nigeria, but I think I used to have a pet elephant. So elephants are big, strong, and gentle, and they have great memories. And it began. Let it eat, just like Benizza. Brilliantly done. Thank you.\nDo you like that for a shot at? Bit of artistry. It's what's come all the way, eh? Oh, um, you can clip them to your belt. Oh, I think you. Oh, you should also. Have your. The lapel microphone as well. Does it? Or that's good. We can clip them on. Okay. Yeah, there's this microphone as well with it. You.\nJust somewhere.\nThe other, it's just a cross here. That's it.\nThis is what's we clipped as well. Think so? Yeah, it'll follow you if you.", | |
| "errors": 159, | |
| "reference_units": 551, | |
| "error_rate": 0.2885662431941924, | |
| "memory": { | |
| "os_peak_process_rss_bytes": 2340175872, | |
| "os_peak_memory_footprint_bytes": 3062172096, | |
| "footprint_available": true, | |
| "rss_source_unit": "bytes", | |
| "elapsed_seconds": 310.89, | |
| "user_seconds": 69.47, | |
| "system_seconds": 50.19, | |
| "scope": "Fresh native child process including loading and inference; excludes Python harness. RSS and footprint are separate measurements and must not be summed." | |
| }, | |
| "word_timing": { | |
| "measured": true, | |
| "actual_arrival_paced": true, | |
| "timing_basis": "Independent host receipt of flushed JSONL since paced20ms producer start; all source words retained", | |
| "correctly_matched_units": 422, | |
| "ambiguous_matched_units": 13, | |
| "ambiguity_method": "all minimum unit-cost Levenshtein paths, without timing-based selection", | |
| "unambiguous_matched_units": 409, | |
| "unambiguous_maximum_seconds": 1.1010443749977412, | |
| "unmatched_reference_units": 129, | |
| "matched_reference_fraction": 0.7658802177858439, | |
| "min_seconds": -1.957550040958452, | |
| "p50_seconds": 0.7124577500228781, | |
| "p95_seconds": 0.9029277089913421, | |
| "maximum_seconds": 1.473215250032954, | |
| "matched_units_above_one_second": 3, | |
| "all_matched_units_within_one_second": null, | |
| "whole_release_pass": false, | |
| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
| "longest_deleted_reference_run": 9, | |
| "max_queue_seconds": 0.7072014999948237, | |
| "mature_windows": 190, | |
| "mature_work_rtf": 0.7803852274197484 | |
| }, | |
| "original": { | |
| "text": "Okay, well, I think we're ready to begin. Right. My name's Adam Dugard. We're here because of rail reaction. We have. In the group, oh, Ebenezer, I demonstrate. Would you like me to support it? Yeah, go for it, mate. Anyz, Anyz. Er. Ebenezer, and your role is. I am the marketing expert. You're the marketing expert. Okay. Next, we have tarot grammar, T A R I K. T R I K. T R I K. And you're rolling this. Industrial designer. Industrial designer. And lastly, we have. Dave Carhart. And you're going to be the user interface. Right. This is the agenda for today's meeting, as you can see. The opening, acquaintance, tool training, project plan, discussion, and closing. We already got through opening, and the partially through acquaintance. So, the reason we're here, we're going to design a new remote control, as you probably all know. The very broad overview is original, trendy, and use a friendly. Of course, we'll have to go into a bit more. Detail of that. But personally, I think that the original is going to be a very key aspect of this design. There's a lot of remote controls out there, anyway. So, we're going to need something that's really going to set it apart. This is how to do. It seems to me it's going to work. We have the three k faces, as you've probably already been told, the functional architectural and the detailed design. First one's going to be covering the user requirement spec, technical functions, working design. Second seems to be conceptual components, properties, materials, and the last one is a. Detailed analysis of our design so far. Of course, you've all got the similar emails, I believe. What can I say? Every user. Do you want to have a? Do you want to draw your favorite? An animal. Sure. Whiteboard. Okay. I'm gonna make this quick, since we don't have much time. Okay, so it's not the best picture in the world. Here we have an elephant. First point, begins with an E. Same like a Benizan. Also, elephants have a very good memory, much like myself. And I can't remember back when I used to live in Nigeria, but I think I used to have a pet, elephant. So, elephants are big, strong, and gentle, and they have great memories. And it begins. Let it E, just like Benizan. Brilliantly done. Thank you. Do you like that for a shot at? Bit of artistry. Let's come on the way, eh? Oh, I'm. You can clip them to your belt. Oh, I think you. Oh, you should also. I have your. The little pearl, icon as well. Did it? Oh, that's good. We can clip them on. Okay. Yeah, there's this microphone as well with it. Just, um, somewhere. The other, it's just a cross here. That's it. This is supposed to be clipped as well. Think so. Yeah, it'll follow you if you.", | |
| "errors": 150, | |
| "reference_units": 551, | |
| "error_rate": 0.27223230490018147 | |
| } | |
| } | |
| }, | |
| { | |
| "id": "meanwhile-4ktyaJkLMfo", | |
| "language": "en", | |
| "arms": { | |
| "native": { | |
| "text": "You know, folks. I spent a lot of time crafting for you a bespoke playlist of the day's biggest stories right over there. Meticulously selecting the most topical chakra of affirming scented candles, and using feng shui. To perfectly align the joke energy in the exclusive boutique yoga retreat that is my monologue, but sometimes just sometimes. I go to the dumpster behind the waffle house at three in the morning, take off my shirt, cover my myself, and used fry oil, wrap my hands in some old duct tape I stole from a broken car window, pound a six pack of blueberry hard seltzer and a sack of pills I stole from a park ambulance, then arm wrestle a raccoon in the back alley, vision quest of news that is my segment.", | |
| "errors": 9, | |
| "reference_units": 135, | |
| "error_rate": 0.06666666666666667, | |
| "memory": { | |
| "os_peak_process_rss_bytes": 2125565952, | |
| "os_peak_memory_footprint_bytes": null, | |
| "footprint_available": false, | |
| "rss_source_unit": "KiB (1024 bytes)", | |
| "elapsed_seconds": 48.88, | |
| "user_seconds": 192.09, | |
| "system_seconds": 15.5, | |
| "scope": "Fresh native child process including loading and inference; excludes Python harness. RSS and footprint are separate measurements and must not be summed." | |
| }, | |
| "word_timing": { | |
| "measured": false, | |
| "actual_arrival_paced": true, | |
| "timing_basis": "Independent host receipt of flushed JSONL since paced20ms producer start; all source words retained", | |
| "correctly_matched_units": 0, | |
| "ambiguous_matched_units": 0, | |
| "ambiguity_method": "all minimum unit-cost Levenshtein paths, without timing-based selection", | |
| "unambiguous_matched_units": 0, | |
| "unambiguous_maximum_seconds": null, | |
| "unmatched_reference_units": 7, | |
| "matched_reference_fraction": null, | |
| "min_seconds": null, | |
| "p50_seconds": null, | |
| "p95_seconds": null, | |
| "maximum_seconds": null, | |
| "matched_units_above_one_second": null, | |
| "all_matched_units_within_one_second": null, | |
| "whole_release_pass": false, | |
| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
| "longest_deleted_reference_run": 1, | |
| "max_queue_seconds": 1.0547852480000017, | |
| "mature_windows": 170, | |
| "mature_work_rtf": 0.9376627561764707 | |
| }, | |
| "mlx": { | |
| "text": "You know, folks. I spent a lot of time crafting for you a bespoke playlist of the day's biggest stories right over there. Meticulously selecting the most topical chakra of affirming scented candles, and using feng shui. To perfectly align the joke energy in the exclusive boutique yoga retreat that is my monologue, but sometimes just sometimes. I go to the dumpster behind the waffle house at three in the morning, take off my shirt, cover my myself, and used fry oil, wrap my hands in some old duct tape I stole from a broken car window, pound a six pack of blueberry hard seltzer and a sack of pills I stole from a park ambulance, then arm wrestle a raccoon in the back alley, vision quest of news that is my segment.", | |
| "errors": 9, | |
| "reference_units": 135, | |
| "error_rate": 0.06666666666666667, | |
| "memory": { | |
| "os_peak_process_rss_bytes": 2339487744, | |
| "os_peak_memory_footprint_bytes": 3074263464, | |
| "footprint_available": true, | |
| "rss_source_unit": "bytes", | |
| "elapsed_seconds": 53.59, | |
| "user_seconds": 18.17, | |
| "system_seconds": 11.55, | |
| "scope": "Fresh native child process including loading and inference; excludes Python harness. RSS and footprint are separate measurements and must not be summed." | |
| }, | |
| "word_timing": { | |
| "measured": false, | |
| "actual_arrival_paced": true, | |
| "timing_basis": "Independent host receipt of flushed JSONL since paced20ms producer start; all source words retained", | |
| "correctly_matched_units": 0, | |
| "ambiguous_matched_units": 0, | |
| "ambiguity_method": "all minimum unit-cost Levenshtein paths, without timing-based selection", | |
| "unambiguous_matched_units": 0, | |
| "unambiguous_maximum_seconds": null, | |
| "unmatched_reference_units": 7, | |
| "matched_reference_fraction": null, | |
| "min_seconds": null, | |
| "p50_seconds": null, | |
| "p95_seconds": null, | |
| "maximum_seconds": null, | |
| "matched_units_above_one_second": null, | |
| "all_matched_units_within_one_second": null, | |
| "whole_release_pass": false, | |
| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
| "longest_deleted_reference_run": 1, | |
| "max_queue_seconds": 0.9046282090130262, | |
| "mature_windows": 167, | |
| "mature_work_rtf": 0.7773274824707798 | |
| }, | |
| "original": { | |
| "text": "You know, folks. I spent a lot of time crafting for you a bespoke playlist of the day's biggest stories right over there. Meticulously selecting the most topical chakra of affirming, scented candles, and using feng shui, to perfectly align the joke, energy, and the exclusive boutique yoga retreat that is my monologue, but sometimes just sometimes. I go to the dumpster behind the Waffle House at three in the morning, take off my shirt, cover myself, and use fry oil, wrap my hands in some old duct tape I stole from a broken car window, pound a six-pack of blueberry hard seltzer and a sack of pills I stole from a park ambulance, then arm wrestle a raccoon in the back alley, vision quest of news that is my segment.", | |
| "errors": 10, | |
| "reference_units": 135, | |
| "error_rate": 0.07407407407407407 | |
| } | |
| } | |
| }, | |
| { | |
| "id": "meanwhile-5Dsh9AgqRG0", | |
| "language": "en", | |
| "arms": { | |
| "native": { | |
| "text": "You know, folks. I spend most of my time right over there. Mining the day's biggest, most important stories, collecting the finest, most topical iron ore, hand, hammering it into joke panels. Then I craft sheets of bronze and blazoned with patterns that tell an epic tale of conquest and glory. Then, using the Germanic tradition, press blech process. I place thin sheets of foil against the scenes, and by hammering or otherwise, applying pressure from the back, I project these scenes into a pair of cheat cards and a face plate, and finally, using fluted strips of white alloyed molding, I divide the designs into framed panels, and hold it all together using bronze rivets to create the beautiful and intimidating Anglo Saxon battlehelm that is my knightly monologue. But sometimes, sometimes, folks,\nSometimes, just sometimes, I come to my senses, fully naked on the deck of a pirate besieged, melee, containership that picked me up floating on the detached door of a porta-potty in the Indian Ocean. Then, after I sun-stroke, induced realizations of the crew of this ship, plans to sell me in exchange for a bag of oranges to fight off scurvy. I lead a mutiny using only a PVC pipe and a pool chain. Then, accepting my new role as captain and declaring my myself king of the wine dark seas. I grab a dirty mop bucket covered in barnacles and a donork with the teeth of the vanquished to create these sopping wet pirate crown of news that is my segment.", | |
| "errors": 30, | |
| "reference_units": 261, | |
| "error_rate": 0.11494252873563218, | |
| "memory": { | |
| "os_peak_process_rss_bytes": 2126475264, | |
| "os_peak_memory_footprint_bytes": null, | |
| "footprint_available": false, | |
| "rss_source_unit": "KiB (1024 bytes)", | |
| "elapsed_seconds": 92.72999999999999, | |
| "user_seconds": 375.86, | |
| "system_seconds": 29.73, | |
| "scope": "Fresh native child process including loading and inference; excludes Python harness. RSS and footprint are separate measurements and must not be summed." | |
| }, | |
| "word_timing": { | |
| "measured": false, | |
| "actual_arrival_paced": true, | |
| "timing_basis": "Independent host receipt of flushed JSONL since paced20ms producer start; all source words retained", | |
| "correctly_matched_units": 0, | |
| "ambiguous_matched_units": 0, | |
| "ambiguity_method": "all minimum unit-cost Levenshtein paths, without timing-based selection", | |
| "unambiguous_matched_units": 0, | |
| "unambiguous_maximum_seconds": null, | |
| "unmatched_reference_units": 25, | |
| "matched_reference_fraction": null, | |
| "min_seconds": null, | |
| "p50_seconds": null, | |
| "p95_seconds": null, | |
| "maximum_seconds": null, | |
| "matched_units_above_one_second": null, | |
| "all_matched_units_within_one_second": null, | |
| "whole_release_pass": false, | |
| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
| "longest_deleted_reference_run": 2, | |
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| "text": "为了解决额度荒的问题。", | |
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| "original": { | |
| "text": "为了解救额度荒的问题。", | |
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| { | |
| "id": "BAC009S0904W0122", | |
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| "text": "近期广州和南京已经开始启动公转商贷款,贴息模式。", | |
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| }, | |
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| "text": "近期广州和南京已经开始启动公转商贷款,贴息模式。", | |
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| { | |
| "id": "BAC009S0905W0121", | |
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| "text": "公积金贷款额度的提高。", | |
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| "mlx": { | |
| "text": "公积金贷款额度的提高。", | |
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| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
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| "original": { | |
| "text": "公积金贷款额度的提高。", | |
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| } | |
| }, | |
| { | |
| "id": "BAC009S0905W0122", | |
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| "native": { | |
| "text": "确实降低了刚需人群。购房成本。", | |
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| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
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| "mlx": { | |
| "text": "确实降低了刚需人群。购房成本。", | |
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| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
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| "original": { | |
| "text": "确实降低了刚需人群。购房成本。", | |
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| } | |
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| ], | |
| "no_post_result_selection": true, | |
| "scope": "All eleven prospectively frozen cases; complete original references and identical causal boundaries. CPU and MLX are paired with original CUDA BF16. Omissions and alignment uncertainty remain explicit; no automatic production acceptance." | |
| } | |